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Machine Learning Manager Jobs in Houston, TX (NOW HIRING)

Prodware Solutions

AI Program Manager

Houston, TX · On-site

Houston, TX (Hybrid: 2-3 days/week) Employment Type: 6-12 Months Contract Job Summary The AI Program Manager will oversee end-to-end delivery of AI and machine learning initiatives, coordinating ...

Expand Energy

Sr. Software Engineer

Spring, TX · On-site

$109K - $143K/yr

They are seeking a Senior Software Engineer responsible for building and operating platforms and tools that support the development and lifecycle management of machine learning models and data ...

W3Global

Senior Data Scientist

Houston, TX · On-site

Machine Learning (ML) Deep Learning (DL): Hands-on experience with: Generative AI (LLMs, RAG systems) Exposure to: Claude / Anthropic-based development (or similar GenAI tools) Strong communication ...

Expand Energy

Sr. ML Ops Engineer

Spring, TX

$96K - $132K/yr

... management of machine learning models and data products. This role is expected to participate and lead communication with business customers as well as cross-functional IT staff, to support business ...

Deloitte

Oracle AI Manager

Houston, TX · On-site

Work you'll do As a Manager, Oracle AI on the AI & Engineering team, you will be responsible for ... Architect AI and machine learning solutions using Oracle Cloud Infrastructure, Oracle AI Services ...

Deloitte

Manager - Data Science / Data Lake

Houston, TX · On-site

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Deloitte

AI Solutions Architect

Houston, TX

$60.25 - $79.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

Pwc

Pharma Technology Consultant Manager

Houston, TX · On-site

$99K - $232K/yr

Responsibilities - Leading the design and development of AI and Machine Learning solutions for pharmaceutical clients - Managing complex data analysis to transform raw data into actionable insights ...

Deloitte

Lead Business Transformation Architect

Houston, TX · On-site

$52.75 - $72.25/hr

In this role, you will be responsible for designing and implementing artificial intelligence and machine learning solutions, as well as managing cloud infrastructure to enhance customer experiences ...

Det Norske Veritas

Product Manager

Houston, TX · On-site

Data science and machine learning * API-first digital products * AI-enabled workflow automation ... Manage product backlogs, releases, and priorities in collaboration with engineering teams * Define ...

Det Norske Veritas

Product Manager

Houston, TX · On-site +1

Data science and machine learning * API-first digital products * AI-enabled workflow automation ... Manage product backlogs, releases, and priorities in collaboration with engineering teams * Define ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

... AI and machine learning models to solve complex business problems across diverse domains. * Collaborate with cross-functional teams, including data scientists, product managers, and software ...

Pwc

CTIO AI Engineering Manager

Houston, TX

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

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All JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Houston, TX

Machine Learning Manager information

See Houston, TX salary details

$48.7K

$78K

$112.7K

How much do machine learning manager jobs pay per year?

As of Jul 2, 2026, the average yearly pay for machine learning manager in Houston, TX is $78,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $88,300.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Houston, TX? The most popular types of Machine Learning jobs in Houston, TX are:
What are popular job titles related to Machine Learning Manager jobs in Houston, TX? For Machine Learning Manager jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Houston, TX look for? The top searched job categories for Machine Learning Manager jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Manager jobs? Cities near Houston, TX with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Houston, TX as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $78,029 per year, or $37.5 per hour.

Senior Machine Learning Engineer - Agentic Workflow

Vitol

Houston, TX • On-site

$99K - $137K/yr

Full-time

Posted 28 days ago

Job description

Company Description
Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.
Vitol's customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2024 were $331bn.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week
Job Description
We are seeking a Senior Machine Learning Engineer / Platform Engineer to design and build a production-grade agentic workflow platform. This role sits at the intersection of LLM systems engineering, distributed platforms, and applied ML, with a strong emphasis on orchestration, reliability, and extensibility. You will be responsible for architecting and implementing agent-based workflows that integrate large language models, retrieval systems, structured knowledge, and external APIs-designed for robustness, observability, and real-world business use.
  • Design and implement multi-agent and single-agent workflows using orchestration patterns and tools, context engineering, memory management, and guardrail strategies.
  • Design RAG pipelines incorporating vector search, hybrid retrieval, and citation tracking.
  • Implement knowledge graph-backed reasoning, including ontologies, entity resolution and graph-based context construction.
  • Design evaluation frameworks for agent task completion correctness, quality, cost, and latency.
  • Develop and deploy machine learning models, focusing on production readiness, scalability, and performance.
  • Collaborate with data scientists to transition experimental models into robust, production-grade applications.
  • Integrate with collaboration platforms (e.g., Teams, alerting systems) for intelligent distribution of insights.
  • Implement and manage CI/CD pipelines to automate deployment, testing, and monitoring of models.
  • Architect and deploy systems on AWS, leveraging compute, storage and security services

Qualifications
  • Bachelor's or master's degree in computer science, Engineering, or related field.
  • 6+ years of experience in software engineering, ML engineering, or platform engineering.
  • Strong proficiency in writing production-grade Python, and experience with Claude Code or Cursor.
  • Hands-on experience with LLM-based systems, including:
    • LangChain / LangGraph
    • MCP
    • Langsmith
    • Claude or comparable frontier models
    • AWS AgentCore or comparable agentic frameworks
  • Solid understanding of RAG architectures, embeddings, and vector search.
  • Experience designing and consuming APIs (REST and/or async/event-driven).
  • Strong cloud engineering experience on AWS.
  • Knowledge of how to fine-tune frontier models to specific domain knowledge
  • Experience with distillation, quantization and small language models is a plus
  • Experience deploying traditional machine learning models into production environments using MLOps tools and best practices.
  • Knowledge of distributed systems, large-scale model optimization, and API development.
  • Exceptional ability to work on a team - especially a dynamic, innovative "tiger team" developing early stage PoC systems.
  • Strong understanding of container orchestration and cloud-native application design.
  • Ability to work in dynamic environments, handling rapid experimentation and iterative development.

Additional Information
Personal Characteristics
  • A self-motivated individual who thrives on seeing the results of their work and its impact on the business
  • Strong communication skills, both verbally and in writing
  • A keen sense for the art of the possible
  • Proven ability to be flexible and work hard, both independently and collaboratively
  • Methodical and organized - in general, in experimental design, and in code!
  • Attention to detail with strong analytical, mathematical, and problem-solving skills
  • An interest in learning about the energy commodities space
  • Resourceful and able to think creatively and adapt in a dynamic and energetic environment
  • Team player, with an open, non-political style and a high level of personal integrity
  • Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world's energy flows

This Role is located in Houston, TX - In office 5x a week
All your information will be kept confidential according to EEO guidelines.

Apply